orangerversion
OCaml wrapper for the ranger (C++) random forests implementation
Ranger is run from the command line and data are exchanged via text files. This is quick and dirty, not a clean OCaml interface to ranger. The oranger_rfr program allows to train/test a random-forests regressor model.
$ oranger_rfr usage: usage: oranger_rfr of the (randomized) dataset used to train (default=0.80) number of processes (default=1) default=100 of randomly selected features to use at each split (cf. ranger's doc for default) for best mtry in [0.001,0.002,0.005,...,1.0] (incompatible with --mtry) to test e.g. "0.001,0.002,0.005" scores to file set (overrides -p) set (overrides -p) set (overrides -p) of folds of cross validation [--seed <int>: fix random seed] OFF regression plot ON REC curve ON Y-randomization model to file model from file feature id. (cf. end of encoding dict) mode this help message
Author | Francois Berenger |
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License | LGPL-2.1-only WITH OCaml-LGPL-linking-exception |
Published | |
Homepage | https://github.com/UnixJunkie/oranger |
Issue Tracker | https://github.com/UnixJunkie/oranger/issues |
Maintainer | unixjunkie@sdf.org |
Dependencies |
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Optional dependencies | |
Source [http] | https://github.com/UnixJunkie/oranger/archive/v4.3.1.tar.gz sha256=9394f59819bae81f042819641dfb6e4b71f1fa459e298c111fbce151370a5e51 md5=3979da7ad6c520cf045845ee79e5b8f6 |
Edit | https://github.com/ocaml/opam-repository/tree/master/packages/oranger/oranger.4.3.1/opam |